Sensing And Artificial Intelligence Solutions For Food Manufacturing


Sensing And Artificial Intelligence Solutions For Food Manufacturing
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Sensing And Artificial Intelligence Solutions For Food Manufacturing


Sensing And Artificial Intelligence Solutions For Food Manufacturing
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Author : Daniel Hefft
language : en
Publisher: CRC Press
Release Date : 2023-03-31

Sensing And Artificial Intelligence Solutions For Food Manufacturing written by Daniel Hefft and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-03-31 with Computers categories.


This book gives readers a practical introduction into machine learning and sensing techniques, their design and ultimately specific applications that could improve food production. It shows how these sensing and computing systems are suitable for process implementation in food factories. This book starts by giving the reader an overview of the historic structures of food manufacturing standards and how they defined today’s manufacturing. It is followed by a topical introduction for professionals in the food industries in topics such as AI, machine learning, and neural networks. It also includes an explanation of the different sensor systems and their basic principles. It shows how these sensing and computing systems are suitable for process implementation in food factories and what types of sensing systems have already been proven to deliver benefit to the food manufacturing industries. The authors also discuss issues around food safety, labelling, and traceability and how sensing and AI can help to resolve issues. They also use case studies and specific examples that can show the benefit of such technologies compared to current approaches. This book is a practical introduction and handbook for students, food engineers, technologists and process engineers on the benefits and challenges around modern manufacturing systems following Industry 4.0 approaches.



Iot And Ai In Agriculture


Iot And Ai In Agriculture
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Author : Tofael Ahamed
language : en
Publisher: Springer Nature
Release Date : 2023-04-10

Iot And Ai In Agriculture written by Tofael Ahamed and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-04-10 with Technology & Engineering categories.


This book reviews recent innovations in the smart agriculture space that use the Internet of Things (IoT) and sensing to deliver Artificial Intelligence (AI) solutionsto agricultural productivity in the agricultural production hubs. In this regard, South and Southeast Asia are one of the major agricultural hubs of the world, facing challenges of climate change and feeding the fast-growing population. To address such challenges, a transboundary approach along with AI and BIG data for bioinformatics are required to increase yield and minimize pre- and post-harvest losses in intangible climates to drive the sustainable development goal (SDG) for feeding a major part of the 9 billion population by 2050 (Society 5.0 SDG 1 & 2). Therefore, this book focuses on the solution through smart IoT and AI-based agriculture including pest infestation and minimizing agricultural inputs for in-house and fields production such as light, water, fertilizer and pesticides to ensure food security aligns with environmental sustainability. It provides a sound understanding for creating new knowledge in line with comprehensive research and education orientation on how the deployment of tiny sensors, AI/Machine Learning (ML), controlled UAVs, and IoT setups for sensing, tracking, collection, processing, and storing information over cloud platforms for nurturing and driving the pace of smart agriculture in this current time. The book will appeal to several audiences and the contents are designed for researchers, graduates, and undergraduate students working in any area of machine learning, deep learning in agricultural engineering, smart agriculture, and environmental science disciplines. Utmost care has been taken to present a varied range of resource areas along with immense insights into the impact and scope of IoT, AI and ML in the growth of intelligent digital farming and smart agriculture which will give comprehensive information to the targeted readers.



Artificial Intelligence A Real Opportunity In The Food Industry


Artificial Intelligence A Real Opportunity In The Food Industry
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Author : Aboul Ella Hassanien
language : en
Publisher: Springer Nature
Release Date : 2022-11-03

Artificial Intelligence A Real Opportunity In The Food Industry written by Aboul Ella Hassanien and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-11-03 with Technology & Engineering categories.


This book emphasizes the latest developments and achievements in AI and related technologies with a special focus on food quality. The book describes the applications, and conceptualization of ideas, and critical surveys covering most aspects of AI for food quality.



Fast Non Destructive Detection Technology And Equipment For Food Quality And Safety


Fast Non Destructive Detection Technology And Equipment For Food Quality And Safety
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Author : Zhiming Guo
language : en
Publisher: Mdpi AG
Release Date : 2023-11-17

Fast Non Destructive Detection Technology And Equipment For Food Quality And Safety written by Zhiming Guo and has been published by Mdpi AG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11-17 with Science categories.


Fast, non-destructive detection technology and equipment for food quality and safety is a powerful technical support tool to ensure the development of food industry informatization and intelligence, with the advantages of fast speed, convenient operation, and easy online inspection. During the past two decades, such technologies have found numerous successful applications for food and agricultural product detection and processing. Owing to improvements in the manufacturing of photoelectric sensor pieces and progress in artificial intelligence and software algorithms, fast non-destructive detection technologies are able to provide more accurate, reliable, and stable solutions for food quality and safety detection and processing. They are closely integrated with the Internet of Things and intelligent manufacturing, promoting a new wave of innovation in intelligent manufacturing in the food industry. The application of new sensing technology and equipment in the fast, non-destructive detection of food has always been at the forefront of scientific and technological research. This Special Issue aims to focus on the latest research progress of this application and jointly discuss the focus of development of this research direction.



Artificial Intelligence Applications In Agriculture And Food Quality Improvement


Artificial Intelligence Applications In Agriculture And Food Quality Improvement
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Author : Khan, Mohammad Ayoub
language : en
Publisher: IGI Global
Release Date : 2022-05-27

Artificial Intelligence Applications In Agriculture And Food Quality Improvement written by Khan, Mohammad Ayoub and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-27 with Technology & Engineering categories.


Food is a necessary aspect of human life, and agriculture is crucial to any country’s global economy. Because the food business is essential to both a country’s economy and global economy, artificial intelligence (AI)-based smart solutions are needed to assure product quality and food safety. The agricultural sector is constantly under pressure to boost crop output as a result of population growth. This necessitates the use of AI applications. Artificial Intelligence Applications in Agriculture and Food Quality Improvement discusses the application of AI, machine learning, and data analytics for the acceleration of the agricultural and food sectors. It presents a comprehensive view of how these technologies and tools are used for agricultural process improvement, food safety, and food quality improvement. Covering topics such as diet assessment research, crop yield prediction, and precision farming, this premier reference source is an essential resource for food safety professionals, quality assurance professionals, agriculture specialists, crop managers, agricultural engineers, food scientists, computer scientists, AI specialists, students, libraries, government officials, researchers, and academicians.



Food Technology Disruptions


Food Technology Disruptions
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Author : Charis M. Galanakis
language : en
Publisher: Academic Press
Release Date : 2021-01-20

Food Technology Disruptions written by Charis M. Galanakis and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-01-20 with Technology & Engineering categories.


Food Technology Disruptions covers the latest disruptions in the food industry, such as the Internet of Things, digital technologies, modern applications like 3D printing, bacterial sensors in food packaging, electronic noses for food authentication, and artificial intelligence. With additional discussions on innovative distribution and delivery of food and consumer acceptance of food disruptions, this book is an essential resource for food scientists, technologists, engineers, agriculturalists, chemists, product developers, researchers, academics and professionals working in the food industry. While innovations play an important role in food production, disruptive technologies are a revolutionary type of innovation that can displace an established technology and shake up the industry...or create a completely new industry. Currently, digital technologies and smart applications lead innovations in the food sector in order to optimize the food supply chain and to develop and deliver tailor-made food products to consumers with new eating habits. Covers digital technologies in agriculture, food production and food processing, modern eating habits, personalized nutrition, and relevant innovative food products Brings alternative protein sources, novel functional foods and artificial meat Discusses the Internet of Things, digital technologies and modern applications like 3D printing, smart packaging and smart food distribution



Marine Biomass


Marine Biomass
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Author : Riti Thapar Kapoor
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2024-06-17

Marine Biomass written by Riti Thapar Kapoor and has been published by Walter de Gruyter GmbH & Co KG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-17 with Technology & Engineering categories.


Ocean plays a significant role in energy production, human health and economy. Seawater, seaweed, microalgae, yeast, bacteria act as feedstock for biofuels and bioproducts. This book focuses on the application of marine biomass for production of energy, fertilizers, nutraceuticals, pharmaceuticals, cosmetics, bioplastics and other value-added products. It presents technological advancements and optimization strategies for enhancing process efficiency, overcoming challenges and maximizing the potential of marine-based biorefinery. It also describes how marine resources can be applied to wastewater treatment, eco-restoration, environment protection and sustainable development.



Image Based Computing For Food And Health Analytics Requirements Challenges Solutions And Practices


Image Based Computing For Food And Health Analytics Requirements Challenges Solutions And Practices
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Author : Rajeev Tiwari
language : en
Publisher: Springer Nature
Release Date : 2023-03-25

Image Based Computing For Food And Health Analytics Requirements Challenges Solutions And Practices written by Rajeev Tiwari and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-03-25 with Technology & Engineering categories.


Increase in consumer awareness of nutritional habits has placed automatic food analysis in the spotlight in recent years. However, food-logging is cumbersome and requires sufficient knowledge of the food item consumed. Additionally, keeping track of every meal can become a tedious task. Accurately documenting dietary caloric intake is crucial to manage weight loss, but also presents challenges because most of the current methods for dietary assessment must rely on memory to recall foods eaten. Food understanding from digital media has become a challenge with important applications in many different domains. Substantial research has demonstrated that digital imaging accurately estimates dietary intake in many environments and it has many advantages over other methods. However, how to derive the food information effectively and efficiently remains a challenging and open research problem. The provided recommendations could be based on calorie counting, healthy food and specific nutritional composition. In addition, if we also consider a system able to log the food consumed by every individual along time, it could provide health-related recommendations in the long-term. Computer Vision specialists have developed new methods for automatic food intake monitoring and food logging. Fourth Industrial Revolution [4.0 IR] technologies such as deep learning and computer vision robotics are key for sustainable food understanding. The need for AI based technologies that allow tracking of physical activities and nutrition habits are rapidly increasing and automatic analysis of food images plays an important role. Computer vision and image processing offers truly impressive advances to various applications like food analytics and healthcare analytics and can aid patients in keeping track of their calorie count easily by automating the calorie counting process. It can inform the user about the number of calories, proteins, carbohydrates, and other nutrients provided by each meal. The information is provided in real-time and thus proves to be an efficient method of nutrition tracking and can be shared with the dietician over the internet, reducing healthcare costs. This is possible by a system made up of, IoT sensors, Cloud-Fog based servers and mobile applications. These systems can generate data or images which can be analyzed using machine learning algorithms. Image Based Computing for Food and Health Analytics covers the current status of food image analysis and presents computer vision and image processing based solutions to enhance and improve the accuracy of current measurements of dietary intake. Many solutions are presented to improve the accuracy of assessment by analyzing health images, data and food industry based images captured by mobile devices. Key technique innovations based on Artificial Intelligence and deep learning-based food image recognition algorithms are also discussed. This book examines the usage of 4.0 industrial revolution technologies such as computer vision and artificial intelligence in the field of healthcare and food industry, providing a comprehensive understanding of computer vision and intelligence methodologies which tackles the main challenges of food and health processing. Additionally, the text focuses on the employing sustainable 4 IR technologies through which consumers can attain the necessary diet and nutrients and can actively monitor their health. In focusing specifically on the food industry and healthcare analytics, it serves as a single source for multidisciplinary information involving AI and vision techniques in the food and health sector. Current advances such as Industry 4.0 and Fog-Cloud based solutions are covered in full, offering readers a fully rounded view of these rapidly advancing health and food analysis systems.



Food Industry 4 0


Food Industry 4 0
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Author : Abdo Hassoun
language : en
Publisher: Elsevier
Release Date : 2024-04-15

Food Industry 4 0 written by Abdo Hassoun and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-15 with Medical categories.


Developments in Food Quality and Safety Series is the most up-to-date resource covering trend topics such as Advances in the analysis of toxic compounds and control of food poisoning; Food fraud, traceability and authenticity; Revalorization of agrifood industry; Natural antimicrobial compounds and application to improve the preservation of food; Non-thermal processing technologies in the food industry; Nanotechnology in food production; and Intelligent packaging and sensors for food applications. Volume 4, Food Industry 4.0: Emerging Trends and Technologies in Food Production and Consumption covers several technologies (e.g., robotics, smart sensors, artificial intelligence, and big data) at different development and research levels in order to provide holistic multidisciplinary approaches that embrace simultaneously as many Industry 4.0 technologies as possible, reflecting the long journey of food from farm (or sea) to fork. Chapters explore automation, digitalization, and green technologies, besides food quality, food safety food traceability, processing and preservation 4.0. Topics such as smart sensors, artificial intelligence and big data revolution, additive manufacturing, and emerging food trends are also explored. The series is edited by Dr. José Manuel Lorenzo and authored by a team of global experts in the fields of Food Quality and Safety, providing comprehensive knowledge to food industry personals and scientists. Provides a comprehensive view of Industry 4.0 technologies as applied to the food industry Covers the most trend topics related to novel foods in the light of emerging innovations and developments Discusses how implementing innovative technologies holds significant potential to increase efficiency and value added, save time and cost, and increase profitability in various food sectors



Sustainable Approach To Protective Nanocoatings


Sustainable Approach To Protective Nanocoatings
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Author : Garg, Rajni
language : en
Publisher: IGI Global
Release Date : 2024-02-27

Sustainable Approach To Protective Nanocoatings written by Garg, Rajni and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-27 with Technology & Engineering categories.


It is essential to harness the potential of nanotechnology in a rapidly evolving industrial environment. As industries grapple with the demand for more advanced, efficient, and sustainable solutions, the intricate amalgamation of chemistry, materials science, physics, biology, and technology in nanotechnology emerges as both a beacon of promise and a complex puzzle. The groundbreaking book, Sustainable Approach to Protective Nanocoatings, serves as a transformative solution. Tailored for academic scholars seeking comprehensive insights, this book navigates the labyrinth of nanotechnology with precision, offering a roadmap for leveraging nanostructured materials and coatings to meet the demands of the modern industrial world. By seamlessly weaving together the intricate tapestry of research methodologies, applications, and technological advances, the book emerges as an indispensable resource for those poised at the intersection of academia and industry.